HSE MIEM Professor Elected Fellow of American Physical Society
The American Physical Society (APS) has recognised HSE MIEM Professor Lev Shchur for his innovative use of computer simulations and the development of superior random number generators for their use in statistical physics. Professor Shchur is the only academic working in Russia to be selected as APS Fellow in 2017.
Founded in 1899 by physicists from Columbia University, the American Physical Society is one of the oldest academic communities in the world. The society includes 14 divisions and nine thematic groups representing all key areas of modern-day physics.
Lev Shchur’s academic interests lie at the interface of theoretical physics and computer software. He is a leading researcher with the Landau Institute for Theoretical Physics in Chernogolovka, Russia. At MIEM, Professor Shchur heads the Joint Department with RAS Dorodnicyn Computing Centre and teaches courses on distributed computing and parallel programming.
Professor Shchur is also the author of more than 140 works that have each made a significant contribution to contemporary science:
- The angle of transversal homoclinic intersection in Yang-Mills equations was numerically determined, which though the help of the computer has proven the non-integrability of Yang-Mills fields.
- In a work co-authored with S. Manakov, stochasticity was found in the scattering of vortex pairs, which is evidence of the non-integrability of two-dimensional hydrodynamic equations.
- A paper co-authored with A. Talapov showed how specialised computers were built to research spin models. A correlation function was numerically obtained for the first time ever, and it was shown that impurities do not change the universality class. Instead they simply modify the correlation length with logarithmic corrections.
- Together with P. Bueter and B. Barash, numerical assessments were created on universal combinations of critical amplitudes in the two-dimensional Potts model, while the precise reduction of logarithmic corrections was shown analytically in the universal relations of critical amplitudes.
- A work co-authored with H. Blöte explained the undesirable correlation between the cluster Monte Carlo method and a random number generator on shift registers. A theory was developed on such correlations.
- A new approach was proposed towards the development of pseudo-random number generators based on the mapping torus and hidden variables. Together with L. Barash, a library of effective random number generators was developed.
- In a work co-authored with M. Novotny, a classification system was proposed for parallel discrete event simulation (PDES) algorithms using the analogy of the evolution of the PDES time horizon together with the evolution of the surface profile in Kardar–Parisi–Zhang equations.
This year the first enrollment was held at HSE Faculty of Physics: since September 26 bachelor’s and 14 master’s students will start their studies at the faculty. They received student ID cards as well as promises to study in creative atmosphere with assistance.
The Higher School of Economics is welcoming its first class of students to the Faculty of Physics. The new faculty is unique in that it fosters a close relationship between education and science. At the Space Research Institute, for instance, future master’s students will create devices to study space plasma, analyse data from satellites, and learn to determine space weather.
Alexei Starobinsky, Professor in Faculty of Physics, Elected Foreign Associate at U.S. National Academy of Sciences
Alexei Starobinsky, Professor in the HSE Faculty of Physics, has been elected Foreign Associate at the U.S. National Academy of Sciences. Previously, he has served as an elected member of the National Academy of Sciences of Germany (Leopoldina), the Norwegian Academy of Science and Letters, and two Indian academies – the Indian National Science Academy (New Delhi) and the National Academy of Sciences (Allahabad).
Thirty school students from Moscow and the Moscow Region recently had an opportunity to meet international researchers and analyze data obtained from the Large Hadron Collider at a workshop organized by HSE’s Faculty of Computer Science, Yandex and CERN.
Igor Kolokolov and Vladimir Lebedev, scientific experts from HSE’s Faculty of Physics and the Landau Institute for Theoretical Physics of Russian Academy of Sciences, have developed an analytical theory, which binds the structure of coherent vortices formed due to inverse cascades in 2-D turbulence with the statistical properties of hydrodynamic fluctuations. Uncovering this link can be useful in identifying the causes of the particular characteristics of such atmospheric phenomena as cyclones and anticyclones. Their research is presented in an article published in the ‘Journal of Fluid Mechanics’.
Konstantin Arutyunov, Professor at the School of Electronic Engineering of HSE Tikhonov Moscow Institute of Electronics and Mathematics, discusses what the new programme offers its students and why the future lies with quantum technologies.
Social scientists from National Research University Higher School of Economics (NRU HSE) measured scientific capital of 39 physics institutions of Russian Academy of Sciences (RAS). More detailed information about research results can be found in the journal Scientometrics.
Students at HSE will be able to enroll in undergraduate and Master’s programmes in Physics, starting in 2017. Furthermore, including those working on doctorates, students will also be able to carry out research not only at HSE laboratories, but also several leading institutes of the Russian Academy of Sciences (RAS), which are launching joint departments with our new faculty.
Takashi Takebe is a Research Fellow at the International Laboratory of Representation Theory and Mathematical Physics and Professor at the Faculty of Mathematics. He has been at HSE since 2009. He is a PhD in Mathematics from the University of Tokyo. He spoke to HSE News in English service about the unpredictability of life for international academics in Moscow, about teaching mathematics to Russians, the problems of language and cycling tours.
The Summer School on Machine Learning in High Energy Physics, which was co-organised by the HSE Faculty of Computer Science and Russian internet company Yandex, has ended. Below, the Head of HSE's Laboratory of Methods for Big Data Analysis, Andrey Ustyuzhanin, talks about the various ways in which physicists and programmers cooperate. He also discusses how researchers from HSE and Yandex have been participating in CERN experiments and how ordinary smartphone users can help unravel the secrets of the universe.